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Embedded Systems Engineer Nvidia Jobs (NOW HIRING)

Higher People

Embedded Systems Engineer

Seattle, WA · On-site

Sr. Embedded Systems Engineer Throne is a high-growth Series B startup on a mission to meaningfully expand access to clean and delightful bathrooms, and they're growing fast. With flagship customers ...

Higher People

Embedded Systems Engineer

Washington, DC · On-site

Sr. Embedded Systems Engineer Throne is a high-growth Series B startup on a mission to meaningfully expand access to clean and delightful bathrooms, and they're growing fast. With flagship customers ...

Astronics

Embedded Systems Engineer

Kent, WA · On-site

$140K - $180K/yr

Embedded Systems Engineer Astronics Subsidiary Astronics CSC Location Kent, Washington Description Join the Astronics team as a Senior Embedded Systems Engineer! Are you looking for a new role where ...

Toyon Research

Senior Embedded Systems Engineer

Goleta, CA · On-site

$145K - $235K/yr

Toyon is looking for a talented and passionate Senior Embedded Systems Engineer to join our growing Aerospace Systems team. In this role, you will play a lead role in the design, development, and ...

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Embedded Systems Engineer Nvidia information

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How much do embedded systems engineer nvidia jobs pay per year?

As of Jun 4, 2026, the average yearly pay for embedded systems engineer nvidia in the United States is $137,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Embedded Systems Engineer at Nvidia, and why are they important?

To thrive as an Embedded Systems Engineer at Nvidia, you need a deep understanding of embedded programming (C/C++), computer architecture, and real-time operating systems, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with tools like Linux, RTOS, debugging instruments (e.g., JTAG), and experience with hardware/software integration are highly valued, along with relevant certifications. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills and qualifications ensure the development of robust, high-performance solutions for complex hardware systems, which are critical for Nvidia's innovative product lines.

What are some common challenges faced by Embedded Systems Engineers at Nvidia, and how can candidates prepare for them?

Embedded Systems Engineers at Nvidia often work on cutting-edge hardware and software integration, which can involve debugging complex, low-level issues and optimizing system performance. One key challenge is ensuring compatibility and efficiency across various platforms, such as GPUs and custom hardware. Candidates can prepare by gaining hands-on experience with real-time operating systems, device drivers, and performance profiling tools. Collaborating closely with hardware, software, and firmware teams is a regular part of the role, so strong communication and cross-disciplinary problem-solving skills are highly valued.

What does an Embedded Systems Engineer at Nvidia do?

An Embedded Systems Engineer at Nvidia is responsible for designing, developing, and optimizing hardware and software components that run on Nvidia’s embedded platforms, such as Jetson or automotive solutions. They work on integrating Nvidia GPUs and SoCs into various devices, ensuring high performance, reliability, and power efficiency. Their role often involves writing low-level firmware, developing device drivers, and collaborating with cross-functional teams to deliver innovative solutions for AI, robotics, and autonomous systems.

What is the difference between Embedded Systems Engineer Nvidia vs Embedded Software Engineer?

AspectEmbedded Systems Engineer NvidiaEmbedded Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related; certifications in embedded systems or hardwareBachelor's in Computer Science, Electrical Engineering, or related; certifications in embedded software or RTOS
Work EnvironmentHardware-focused, working with Nvidia hardware, GPUs, and embedded platformsSoftware-focused, developing embedded applications across various hardware platforms
Employer & Industry UsagePrimarily in tech companies, automotive, AI, and gaming industries using Nvidia productsAcross diverse industries including consumer electronics, automotive, and industrial automation

While both roles involve embedded development, Embedded Systems Engineers Nvidia focus on hardware integration and Nvidia-specific platforms, whereas Embedded Software Engineers concentrate on software development across various embedded systems. The choice depends on whether your expertise aligns more with hardware and Nvidia technologies or software development in embedded environments.

Embedded Systems Engineer IV, Research & Development

acv

Buffalo, NY

Other

Posted 9 days ago

Job description

Who we are looking for:

As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for our next-generation hardware platforms. You will design, develop, and optimize high-performance software running on a variety of embedded systems—ranging from single-board computers and edge AI compute modules to custom ARM architecture.

This role requires a unique blend of scrappy, proof-of-concept rapid prototyping and disciplined, production-grade software engineering. You will own the software lifecycle for new devices, ensuring seamless integration between low-level hardware, sensors, edge computing frameworks, and our enterprise cloud infrastructure.

What you will do:

  • End-to-End Development: Architect, implement, and maintain embedded software from initial conceptual prototypes to ruggedized, scalable, enterprise-level production code.
  • Platform Ownership: Develop and optimize firmware and middleware on platforms including Raspberry Pi, NVIDIA Jetson, and ARM-based System-on-Modules (SOMs).
  • Sensor & Peripheral Integration: Write and debug low-level drivers and interfaces for a diverse ecosystem of peripherals, cameras, and environmental sensors via protocols such as I2C, SPI, UART, USB, and PCIe.
  • Edge Intelligence & Compute: Optimize software on compute-constrained edge devices, including leveraging hardware acceleration (e.g., CUDA, TensorRT on Jetson platforms) for real-time data processing and computer vision pipelines.
  • System Stability & Lifecycle: Design robust fault-detection, automated recovery mechanisms, and secure over-the-air (OTA) firmware update systems to ensure maximum field stability.
  • Cross-Functional Collaboration: Partner closely with hardware/electrical engineers, mechanical designers, and cloud backend teams to define system architectures and interfaces.
  • Mentorship & Standards: Drive code quality through rigorous code reviews, automated testing, and comprehensive documentation. Mentor junior and mid-level engineers on the team.
  • Perform additional duties as assigned.

What you will need:

  • Ability to read, write, speak and understand English.
  • BS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent practical experience).
  • 6+ years’ Professional experience in embedded software development, with a proven track record of shipping commercial or industrial hardware products
  • Expert-level proficiency in C and C++; strong scripting skills in Python or Bash for testing and automation.
  • OS Expertise: Deep experience developing within Embedded Linux environments (including kernel configuration, device tree modification, and custom driver development).
  • Hands-on experience building applications on Raspberry Pi (Linux/Debian) and NVIDIA Jetson (JetPack ecosystem).
  • Solid understanding of hardware communication protocols: SPI, I2C, UART, CAN bus, USB.
  • Experience interfacing with high-resolution image sensors, cameras, or specialized sensors.
  • Proficiency with modern software engineering tools: Git, CMake, Docker, and CI/CD pipelines tailored for embedded targets.
  • Familiarity with networking stacks and IoT communication protocols (TCP/IP, UDP, MQTT, gRPC).
  • Comfortable utilizing lab equipment like oscilloscopes, logic analyzers, and multimeters to debug hardware/software boundary issues.
  • Expert in version control systems including trunk-based development, multiple release planning, cherry picking, and rebase.
  • Nice to Have Technical Competencies
    • Experience with custom Linux distribution builders like Yocto Project or Buildroot.
    • Familiarity with real-time operating systems (RTOS) or bare-metal ARM development.
    • Experience deploying or optimizing machine learning models at the edge.

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